Triple

T18177009
Position Surface form Disambiguated ID Type / Status
Subject Hot in Cleveland E435188 entity
Predicate composer P1361 FINISHED
Object Ron Wasserman NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ron Wasserman | Statement: [Hot in Cleveland, composer, Ron Wasserman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Wasserman
Context triple: [Hot in Cleveland, composer, Ron Wasserman]
  • A. Ron Wasserman chosen
    Ron Wasserman is an American composer best known for his high-energy television theme and score work, particularly on shows like Mighty Morphin Power Rangers and other 1990s–2000s series.
  • B. Rob Wasserman
    Rob Wasserman was an American Grammy-winning bassist and composer known for his innovative solo work and collaborations with artists such as Bob Weir, Lou Reed, and Elvis Costello.
  • C. Larry Grossman
    Larry Grossman is an American composer best known for his work on Broadway and in musical theatre, as well as for writing songs for film and television.
  • D. Richard Sokolove
    Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
  • E. Glen Wexler
    Glen Wexler is an American photographer and digital imaging pioneer best known for his imaginative, surreal album covers and advertising work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5a72008190bd2e56205b995a87 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.